AWS EMR API Error (ValidationException ) while running EmrEtlRunner


#1

Hi all,
I am using snowplow_emr_r91_stonehenge_rc9 version of EmrEtlrunner, when i run using below command

./snowplow-emr-etl-runner run --config snowplow/4-storage/config/emretlrunner.yml --resolver snowplow/3-enrich/config/iglu_resolver.json --enrichments snowplow/3-enrich/config/enrichments/ --skip staging

I am getting error.
Below is the error details;

D, [2017-09-22T09:13:40.852000 #16376] DEBUG -- : Initializing EMR jobflow
F, [2017-09-22T09:13:44.025000 #16376] FATAL -- :

ArgumentError (AWS EMR API Error (ValidationException): The supplied bootstrap action(s): 'Elasticity 
Bootstrap Action' are not supported by release 'emr-5.5.0'.):
uri:classloader:/gems/elasticity-6.0.12/lib/elasticity/aws_session.rb:33:in `submit'
uri:classloader:/gems/elasticity-6.0.12/lib/elasticity/emr.rb:302:in `run_job_flow'
uri:classloader:/gems/elasticity-6.0.12/lib/elasticity/job_flow.rb:173:in `run'
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/emr_job.rb:542:in `run'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43:in `send_to'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76:in `call_with'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in redefine_method'
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/runner.rb:92:in `run'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43:in `send_to'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76:in `call_with'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in redefine_method'
uri:classloader:/emr-etl-runner/bin/snowplow-emr-etl-runner:41:in `<main>'
org/jruby/RubyKernel.java:979:in `load'
uri:classloader:/META-INF/main.rb:1:in `<main>'
org/jruby/RubyKernel.java:961:in `require'
uri:classloader:/META-INF/main.rb:1:in `(root)'
uri:classloader:/META-INF/jruby.home/lib/ruby/stdlib/rubygems/core_ext/kernel_require.rb:1:in `<main>'

And my emretlrunner.yml file is below

aws:
  # Credentials can be hardcoded or set in environment variables
  access_key_id: xxxx
  secret_access_key: xxxxxx
  #keypair: Snowplowkeypair
  #key-pair-file: /home/ubuntu/snowplow/4-storage/config/Snowplowkeypair.pem
  region: us-east-1
  s3:
	region: us-east-1
	buckets:
	  assets: s3://snowplow-hosted-assets # DO NOT CHANGE unless you are hosting the jarfiles etc yourself in your own bucket
	  jsonpath_assets: # If you have defined your own JSON Schemas, add the s3:// path to your own JSON Path files in your own bucket here
	  log: s3://unilogregion1/logs
	  raw:
		in:                  # This is a YAML array of one or more in buckets - you MUST use hyphens before each entry in the array, as below
		  - s3://unilogregion1         # e.g. s3://my-old-collector-bucket
		processing: s3://unilogregion1/raw/processing
		archive: s3://unilogregion1/raw/archive   # e.g. s3://my-archive-bucket/raw
	  enriched:
		good: s3://unilogregion1/enriched/good        # e.g. s3://my-out-bucket/enriched/good
		bad: s3://unilogregion1/enriched/bad       # e.g. s3://my-out-bucket/enriched/bad
		errors: s3://unilogregion1/enriched/errors     # Leave blank unless :continue_on_unexpected_error: set to true below
		archive: s3://unilogregion1/enriched/archive    # Where to archive enriched events to, e.g. s3://my-archive-bucket/enriched
	  shredded:
		good: s3://unilogregion1/shredded/good        # e.g. s3://my-out-bucket/shredded/good
		bad: s3://unilogregion1/shredded/bad        # e.g. s3://my-out-bucket/shredded/bad
		errors: s3://unilogregion1/shredded/errors     # Leave blank unless :continue_on_unexpected_error: set to true below
		archive: s3://unilogregion1/shredded/archive     # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
  emr:
	ami_version: 5.5.0
	region: us-east-1       # Always set this
	jobflow_role: EMR_EC2_DefaultRole # Created using $ aws emr create-default-roles
	service_role: EMR_DefaultRole     # Created using $ aws emr create-default-roles
	placement: us-east-1a      # Set this if not running in VPC. Leave blank otherwise
	ec2_subnet_id:  # Set this if running in VPC. Leave blank otherwise
	ec2_key_name: Snowplowkeypair
	bootstrap: []           # Set this to specify custom boostrap actions. Leave empty otherwise
	software:
	  hbase: "0.92.0"               # Optional. To launch on cluster, provide version, "0.92.0", keep quotes. Leave empty otherwise.
	  lingual: "1.1"              # Optional. To launch on cluster, provide version, "1.1", keep quotes. Leave empty otherwise.
	# Adjust your Hadoop cluster below
	jobflow:
	  job_name: Snowplow ETL # Give your job a name
	  master_instance_type: m1.medium
	  core_instance_count: 2
	  core_instance_type: m1.medium
	  core_instance_ebs:    # Optional. Attach an EBS volume to each core instance.
		volume_size: 100    # Gigabytes
		volume_type: "gp2"
		volume_iops: 400    # Optional. Will only be used if volume_type is "io1"
		ebs_optimized: false # Optional. Will default to true
	  task_instance_count: 0 # Increase to use spot instances
	  task_instance_type: m1.medium
	  task_instance_bid: 0.015 # In USD. Adjust bid, or leave blank for non-spot-priced (i.e. on-demand) task instances
	bootstrap_failure_tries: 3 # Number of times to attempt the job in the event of bootstrap failures
	configuration:
	  yarn-site:
		yarn.resourcemanager.am.max-attempts: "1"
	  spark:
		maximizeResourceAllocation: "true"
	additional_info:        # Optional JSON string for selecting additional features
collectors:
  format: thrift # For example: 'clj-tomcat' for the Clojure Collector, 'thrift' for Thrift records, 'tsv/com.amazon.aws.cloudfront/wd_access_log' for Cloudfront access logs or 'ndjson/urbanairship.connect/v1' for UrbanAirship Connect events
enrich:
  versions:
	spark_enrich: 1.9.0 # Version of the Spark Enrichment process
  continue_on_unexpected_error: false # Set to 'true' (and set :out_errors: above) if you don't want any exceptions thrown from ETL
  output_compression: NONE # Compression only supported with Redshift, set to NONE if you have Postgres targets. Allowed formats: NONE, GZIP
storage:
  versions:
	rdb_loader: 0.12.0
	rdb_shredder: 0.12.0        # Version of the Spark Shredding process
	hadoop_elasticsearch: 0.1.0 # Version of the Hadoop to Elasticsearch copying process
monitoring:
  tags: {} # Name-value pairs describing this job
  logging:
	level: DEBUG # You can optionally switch to INFO for production
  #snowplow:
	#method: get
	#app_id: unilog # e.g. snowplow
	#collector: 172.31.38.39:8082 # e.g. d3rkrsqld9gmqf.cloudfront.net

Please help me to resolve this error


#2

anyone… Please do reply.


#3

i solved this error by leaving blank of software section as below.
software:
hbase:
lingual:

But now getting different error:

D, [2017-09-22T11:26:11.077000 #17797] DEBUG -- : Initializing EMR jobflow
D, [2017-09-22T11:26:14.981000 #17797] DEBUG -- : EMR jobflow j-3ERLMNX8JB01B started, waiting for jobflow to complete...
F, [2017-09-22T11:36:17.039000 #17797] FATAL -- :

Snowplow::EmrEtlRunner::EmrExecutionError (EMR jobflow j-3ERLMNX8JB01B failed, check Amazon EMR console and Hadoop logs f        or details (help: https://github.com/snowplow/snowplow/wiki/Troubleshooting-jobs-on-Elastic-MapReduce). Data files not ar        chived.
Snowplow ETL: TERMINATING [STEP_FAILURE] ~ elapsed time n/a [2017-09-22 11:34:04 +0000 - ]
 - 1. Elasticity S3DistCp Step: Raw S3 -> Raw HDFS: FAILED ~ 00:00:19 [2017-09-22 11:34:06 +0000 - 2017-09-22 11:34:25 +0        000]
 - 2. Elasticity S3DistCp Step: Shredded S3 -> Shredded Archive S3: CANCELLED ~ elapsed time n/a [ - ]
 - 3. Elasticity S3DistCp Step: Enriched S3 -> Enriched Archive S3: CANCELLED ~ elapsed time n/a [ - ]
 - 4. Elasticity S3DistCp Step: Raw Staging S3 -> Raw Archive S3: CANCELLED ~ elapsed time n/a [ - ]
 - 5. Elasticity S3DistCp Step: Shredded HDFS _SUCCESS -> S3: CANCELLED ~ elapsed time n/a [ - ]
 - 6. Elasticity S3DistCp Step: Shredded HDFS -> S3: CANCELLED ~ elapsed time n/a [ - ]
 - 7. Elasticity Spark Step: Shred Enriched Events: CANCELLED ~ elapsed time n/a [ - ]
 - 8. Elasticity Custom Jar Step: Empty Raw HDFS: CANCELLED ~ elapsed time n/a [ - ]
 - 9. Elasticity S3DistCp Step: Enriched HDFS _SUCCESS -> S3: CANCELLED ~ elapsed time n/a [ - ]
 - 10. Elasticity S3DistCp Step: Enriched HDFS -> S3: CANCELLED ~ elapsed time n/a [ - ]
 - 11. Elasticity Spark Step: Enrich Raw Events: CANCELLED ~ elapsed time n/a [ - ]):
	uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/emr_job.rb:572:in `run'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43:in `send_to'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76:in `call_with'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in redefine_method'
	uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/runner.rb:92:in `run'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43:in `send_to'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76:in `call_with'
	uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in redefine_method'
	uri:classloader:/emr-etl-runner/bin/snowplow-emr-etl-runner:41:in `<main>'
	org/jruby/RubyKernel.java:979:in `load'
	uri:classloader:/META-INF/main.rb:1:in `<main>'
	org/jruby/RubyKernel.java:961:in `require'
	uri:classloader:/META-INF/main.rb:1:in `(root)'
	uri:classloader:/META-INF/jruby.home/lib/ruby/stdlib/rubygems/core_ext/kernel_require.rb:1:in `<main>'

Let me know if any changes should be made in yml file…


#4

Hey @alex please help me to resolve this error.